典型文献
Combination for Conflicting Interval-Valued Belief Structures with CSUI-DST Method
文献摘要：
Since the basic probability of an interval-valued belief structure(IBS)is assigned as interval num-ber,its combination becomes difficult.Especially,when dealing with highly conflicting IBSs,most of the existing combination methods may cause counter-intuitive results,which can bring extra heavy computational burden due to nonlinear optimization model,and lose the good property of associativity and commutativity in Dempster-Shafer theory(DST).To address these problems,a novel con-flicting IBSs combination method named CSUI(conflict,similarity,uncertainty,intuitionistic fuzzy sets)-DST method is proposed by introducing a similarity measure-ment to measure the degree of conflict among IBSs,and an uncertainty measurement to measure the degree of dis-cord,non-specificity and fuzziness of IBSs.Considering these two measures at the same time,the weight of each IBS is determined according to the modified reliability de-gree.From the perspective of intuitionistic fuzzy sets,we propose the weighted average IBSs combination rule by the addition and number multiplication operators.The ef-fectiveness and rationality of this combination method are validated with two numerical examples and its applica-tion in target recognition.
文献关键词：
中图分类号：
作者姓名：
LI Shuangming;GUAN Xin;YI Xiao;SUN Guidong
作者机构：
Naval Aviation University,Yantai 264001,China;Unit 92941 of PLA,Huludao 125001,China;Unit 32801 of PLA,Beijing 100082,China
文献出处：
引用格式：
[1]LI Shuangming;GUAN Xin;YI Xiao;SUN Guidong-.Combination for Conflicting Interval-Valued Belief Structures with CSUI-DST Method)[J].电子学报（英文）,2022(05):980-990
A类：
Conflicting,CSUI,IBSs,associativity,commutativity,flicting
B类：
Combination,Interval,Valued,Belief,Structures,DST,Method,Since,basic,probability,interval,valued,belief,structure,assigned,its,combination,becomes,difficult,Especially,when,dealing,highly,conflicting,most,existing,methods,may,cause,counter,intuitive,results,which,can,bring,extra,heavy,computational,burden,due,nonlinear,optimization,model,lose,good,property,Dempster,Shafer,theory,To,address,these,problems,novel,named,similarity,uncertainty,intuitionistic,fuzzy,sets,proposed,by,introducing,degree,among,measurement,dis,specificity,fuzziness,Considering,two,measures,same,each,determined,according,modified,reliability,From,perspective,weighted,average,rule,addition,number,multiplication,operators,fectiveness,rationality,this,are,validated,numerical,examples,applica,target,recognition
AB值：
0.54391
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